Algorithms for Fuzzy Clustering : Methods in c-Means Clustering with Applications
The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be co...
Shranjeno v:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2008. |
| Serija: | Studies in Fuzziness and Soft Computing
|
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Algorithms for Fuzzy Clustering, Texte imprimé, 9783540787365 • Algorithms for Fuzzy Clustering, Texte imprimé, 9783540849438 • Algorithms for Fuzzy Clustering, Texte imprimé, 9783642097539 |
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| 100 | 1 | |a Miyamoto, Sadaaki, |d 1950- | |
| 245 | 1 | 0 | |a Algorithms for Fuzzy Clustering : |b Methods in c-Means Clustering with Applications |c by Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |x 1860-0808 | |
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| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a BasicMethods for c-Means Clustering Variations and Generalizations - I Variations and Generalizations - II Miscellanea Application to Classifier Design Fuzzy Clustering and Probabilistic PCA Model Local Multivariate Analysis Based on Fuzzy Clustering Extended Algorithms for Local Multivariate Analysis | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be considered to be a major technique of clustering in general, regardless whether one is interested in fuzzy methods or not. Unlike most studies in fuzzy c-means, what we emphasize in this book is a family of algorithms using entropy or entropy-regularized methods which are less known, but we consider the entropy-based method to be another useful method of fuzzy c-means. Throughout this book one of our intentions is to uncover theoretical and methodological differences between the Dunn and Bezdek traditional method and the entropy-based method. We do note claim that the entropy-based method is better than the traditional method, but we believe that the methods of fuzzy c-means become complete by adding the entropy-based method to the method by Dunn and Bezdek, since we can observe natures of the both methods more deeply by contrasting these two | ||
| 700 | 1 | |a Ichihashi, Hidetomo, |d 19..- |4 aut | |
| 700 | 1 | |a Honda, Katsuhiro. |4 aut | |
| 776 | 0 | |t Algorithms for Fuzzy Clustering |b Texte imprimé |z 9783540787365 | |
| 776 | 0 | |t Algorithms for Fuzzy Clustering |b Texte imprimé |z 9783540849438 | |
| 776 | 0 | |t Algorithms for Fuzzy Clustering |b Texte imprimé |z 9783642097539 | |
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